New psychoactive substances, originally developed as potential analgesics but abandoned due to adverse side effects, may ...

These findings expand the available tools for late recurrence assessment and can potentially further refine the selection of candidates for extended endocrine therapy,” said Eleftherios (Terry) ...

Deep-learning algorithms significantly enhance clinicians’ ability to correctly identify paediatric elbow fractures, a notoriously challenging diagnosis.

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Abstract: A novel unsupervised algorithm, named deep-learning-based error image prior (DLEIP), is proposed for lung electrical impedance tomography (EIT). An ...